Hiring.Camp

Data Product Owner (M/F) - Internship - Paris

Wiremind 1714146283

·

Today

Location
Paris
Workplace
Hybrid
Type
Internship
Department
IT
Seniority
Internship
Source
Teamtailor

Description

Since 2014, Wiremind has positioned itself as a tech company transforming the world of transport and events with a 360° approach combining UX, software and AI.

Our expertise lies in optimizing and distributing our clients' capacity: ticket forecasting and pricing, 3D optimization of air freight, competitor price scraping... Our applications are the preferred tool of companies such as SNCF, United Airlines, Qatar Airways or PSG to visualize, analyze and optimize their capacity.

Profitable and self-financed for more than 10 years, Wiremind has just raised its first funding round. We are about 170 people, mainly engineers and experts, and we keep our technical DNA at the heart of our SaaS growth.

CARGOSTACK is a comprehensive SaaS solution that enables airlines to manage their air cargo operations. It combines a Cargo Management System (CMS) with AI-powered optimization modules that generate forecasts and help users make better decisions: the optimal capacity to sell (in kg and m³), the right pricing, the appropriate overbooking level, and the best pallet configuration (think of it as a 3D Tetris optimizer).

Your missions 🚀

From January or February 2027, for 6 months, you will join the Data Product team of CARGOSTACK as a Data Product Owner Intern, at the crossroads of Data Science, Software and our airline clients. Your goal: turn our AI/ML forecasting and optimization models into a product that airlines understand, trust and use every day.

Product development

  • Take part in every stage of feature delivery: understanding the client need, writing the specification, prioritizing, testing and deploying.

  • Work hand in hand with Data Scientists and Software Engineers to ship features that improve our forecasts, pricing or overbooking recommendations.

ML performance monitoring

  • Design, build and improve the tools that monitor how our models perform in production (forecast accuracy, bias, drift...), using Python and SQL.

  • Analyze the results and share clear insights with the Data Science team and with our clients.

Client and team support

  • Act as the data expert during client implementations and answer airline users' questions on AI/ML results.

  • Handle client support tickets related to our data and AI/ML modules.

  • Contribute to product testing and documentation.

Your profile

  • You are a student in an engineering or business school, in your final year or on a gap year, and available for 6 months from January 2027.

  • You are hands-on with Python and SQL and have already used them in an internship or a real project.

  • You like coding and technical topics, but what excites you most is building a product that people use.

  • You are curious, autonomous and rigorous, and you communicate clearly with technical teams as well as with clients.

  • You are fully fluent in English: our clients are international airlines.

  • Nice to have: an experience or a passion for aviation, transport or logistics, and you use AI tools (coding assistants, agents...) in your daily work.

What we offer

  • A product with real impact, used every day by major airlines, and real ownership from day one.

  • A self-financed startup with a strong tech identity that has just raised its first funding round.

  • Offices in central Paris (Bd Poissonnière), with 1 remote day per week.

  • WellPass at a preferential rate.

  • Monthly afterworks, tech and product meetups, a yearly off-site seminar and team buildings.

Recruitment process

  1. A first call with Yasmine, Talent Acquisition Specialist.

  2. An interview with Augusto, Data Product Owner and your future manager (45 min, video).

  3. A case study to prepare.

  4. A final interview at our offices to present your case study and meet the team (1h30).

Wiremind is committed to equal opportunity and diversity. All applications are considered regardless of background.

Skills

PythonSQLData Science

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